Software engineering (3rd ed.): a practitioner's approach
Software engineering (3rd ed.): a practitioner's approach
Mutation analysis using mutant schemata
ISSTA '93 Proceedings of the 1993 ACM SIGSOFT international symposium on Software testing and analysis
An experimental evaluation of data flow and mutation testing
Software—Practice & Experience
All-uses vs mutation testing: an experimental comparison of effectiveness
Journal of Systems and Software
Automated program flaw finding using simulated annealing
Proceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis
The dynamic domain reduction procedure for test data generation
Software—Practice & Experience
Automated test-data generation for exception conditions
Software—Practice & Experience
Mutation analysis of program test data
Mutation analysis of program test data
Automatic test data generation
Automatic test data generation
Evolutionary testing of classes
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
An experimental mutation system for Java
ACM SIGSOFT Software Engineering Notes
Search-based mutation testing for Simulink models
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
An Ant Colony Optimization Approach to Test Sequence Generation for Statebased Software Testin
QSIC '05 Proceedings of the Fifth International Conference on Quality Software
HIS '05 Proceedings of the Fifth International Conference on Hybrid Intelligent Systems
The state problem for evolutionary testing
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Information and Software Technology
Towards automating the generation of mutation tests
Proceedings of the 5th Workshop on Automation of Software Test
Test case prioritization using ant colony optimization
ACM SIGSOFT Software Engineering Notes
Mutation-driven generation of unit tests and oracles
Proceedings of the 19th international symposium on Software testing and analysis
Efficient multi-objective higher order mutation testing with genetic programming
Journal of Systems and Software
Structured testing using ant colony optimization
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Automatic mutation based test data generation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Strong higher order mutation-based test data generation
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Mutation based test case generation via a path selection strategy
Information and Software Technology
Software Coverage Analysis: Black Box Approach Using ANT System
International Journal of Applied Evolutionary Computation
Mutation-oriented test data augmentation for GUI software fault localization
Information and Software Technology
Diversity oriented test data generation using metaheuristic search techniques
Information Sciences: an International Journal
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Fault-based testing is often advocated to overcome limitations ofother testing approaches; however it is also recognized as beingexpensive. On the other hand, evolutionary algorithms have beenproved suitable for reducing the cost of data generation in the contextof coverage based testing. In this paper, we propose a newevolutionary approach based on ant colony optimization for automatictest input data generation in the context of mutation testingto reduce the cost of such a test strategy. In our approach the antcolony optimization algorithm is enhanced by a probability densityestimation technique. We compare our proposal with otherevolutionary algorithms, e.g., Genetic Algorithm. Our preliminaryresults on JAVA testbeds show that our approach performed significantlybetter than other alternatives.